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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 6383
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    Explanations

    adjectives describing the significance or impact of events or concepts

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers that emphasize the significance or severity of topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srfAttach
    -0.72
    ulia
    -0.69
    uphem
    -0.68
    ummies
    -0.68
    ubi
    -0.67
    roma
    -0.67
    ̶
    -0.67
    ORED
    -0.66
    DERR
    -0.66
    ichever
    -0.66
    POSITIVE LOGITS
     endeavor
    1.00
     milestone
    0.95
     foray
    0.89
     avenue
    0.86
    worldly
    0.86
     beast
    0.85
     thing
    0.84
     feat
    0.84
     undertaking
    0.83
     aspect
    0.83
    Activations Density 0.148%

    No Known Activations